At a Glance
- Tasks: Develop analytical solutions and apply machine learning to solve complex business challenges.
- Company: Global specialist insurer known for innovation and technology-driven decision-making.
- Benefits: Competitive salary, flexible working, generous leave, and professional development opportunities.
- Other info: Collaborative environment with opportunities for career growth and diverse projects.
- Why this job: Join a dynamic team and make a real impact with data-driven insights.
- Qualifications: Degree in STEM or equivalent experience; strong interest in data science and analytics.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a global specialist insurer known for its innovative approach to risk and commitment to leveraging technology and data to drive better business decisions. With a strong presence in international markets, the organisation focuses on delivering high-quality insurance solutions while continually investing in advanced analytics, AI, and data capabilities. The business promotes a collaborative, forward-thinking culture where data and technology play a central role in shaping strategy and delivering measurable value. Teams work across multiple functions to build impactful solutions that enhance underwriting, pricing, and operational decision-making.
Our client is seeking a Data Scientist to join a growing analytics team supporting decision-making across the London Market. This is a high-impact role where you will act as a critical thinker and problem solver, applying advanced analytics and innovative thinking to complex business challenges. You will work across multiple business areas, delivering both ad-hoc analysis and predictive or prescriptive models that support strategic and operational decisions. The role offers the opportunity to work with diverse datasets, apply modern machine learning techniques, and help strengthen the organisation’s data-driven culture.
As part of a multidisciplinary technical team, you will collaborate closely with data engineers, analysts, and business stakeholders to design and deliver scalable data solutions. This position is ideal for someone who enjoys turning complex data into actionable insights and communicating the business value of analytics.
Key Responsibilities
- Develop analytical solutions that support business decision-making using industry best practices and emerging data science methodologies.
- Work across the end-to-end data science lifecycle, from understanding business challenges to designing and implementing analytical models.
- Analyse both internal and external datasets to generate insights and predictive capabilities.
- Apply machine learning, statistical modelling, and advanced analytics techniques to solve complex business problems.
- Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders such as pricing and underwriting teams.
- Communicate analytical findings clearly to non-technical stakeholders and demonstrate the value of data-driven solutions.
- Contribute to the development and maturity of analytics practices across the organisation.
- Support continuous improvement by exploring new analytical approaches and technologies.
Required Skills
- Degree in STEM (Science, Technology, Engineering, Mathematics) or a closely related discipline, or equivalent practical experience.
- Experience in data science, advanced analytics, or machine learning, or a strong interest in developing expertise in these areas.
- Strong understanding of statistics and quantitative analysis.
- Experience developing predictive or prescriptive models to generate business insights.
- Proficiency in programming languages such as Python, R, or SQL.
- Familiarity with version control systems, Agile methodologies, and modern development tools.
- Ability to work both independently and collaboratively within small teams.
- Strong written and verbal communication skills with the ability to present complex analytical findings clearly to stakeholders.
Preferred Skills
- Postgraduate degree in a relevant field such as Data Science, Statistics, or Machine Learning.
- Experience applying data science within financial services or insurance environments.
- Exposure to large language models, prompt engineering, or generative AI technologies.
- Experience working with cloud platforms such as Google Cloud Platform (GCP).
- Interest or experience in natural language processing (NLP) or computer vision.
- Knowledge of a wide range of machine learning techniques, from classical statistical models to deep learning methods.
- Understanding of software development best practices.
Competitive salary and performance-related incentives, pension contributions, generous annual leave allowance, flexible and hybrid working options, professional development and learning opportunities, collaborative and innovative working environment, opportunity to work on high-impact analytics projects within a global organisation.
SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.
Data Scientist employer: SPG Resourcing
SPG Resourcing is an excellent employer that fosters a collaborative and inclusive work culture, making it an ideal place for HR Data & Systems Analysts to thrive. With a strong focus on employee growth, the company offers comprehensive benefits such as annual bonuses, a generous 12% employer pension contribution, and private medical insurance, all while working in vibrant cities like Manchester or Leeds. Join us to be part of meaningful global payroll projects and enhance your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SPG Resourcing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at SPG Resourcing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SPG Resourcing.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SPG Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SPG Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SPG Resourcing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SPG Resourcing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
